Zhu, Jun-Yan

Unpaired image-to-image translation using cycle-consistent adversarial networks

Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 23,602

Image-to-Image Translation with Conditional Adversarial Networks

Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 22,930

Semantic Image Synthesis With Spatially-Adaptive Normalization

Park, T., Liu, M.-Y., Wang, T.-C., & Zhu, J.-Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 2,974

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Hoffman, J., Tzeng, E., Park, T., Zhu, J.-Y., Isola, P., Saenko, K., Efros, A. A., & Darrell, T. (2017) · arXiv

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 2,656

Learning the signatures of the human grasp using a scalable tactile glove

Sundaram, S., Kellnhofer, P., Li, Y., Zhu, J.-Y., Torralba, A., & Matusik, W. (2019) · Nature

Robot Manipulation and LearningTactile and Sensory Interactions

Cited by 1,162

Multi-Concept Customization of Text-to-Image Diffusion

Kumari, N., Zhang, B., Zhang, R., Shechtman, E., & Zhu, J.-Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 674

Video-to-Video Synthesis

Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Liu, G., Tao, A., Kautz, J., & Catanzaro, B. (2018) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 594

Understanding the role of individual units in a deep neural network

Bau, D., Zhu, J.-Y., Strobelt, H., Lapedriza, A., Zhou, B., & Torralba, A. (2020) · Proceedings of the National Academy of Sciences

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 375

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

Parmar, G., Zhang, R., & Zhu, J.-Y. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisImage and Video Quality Assessment

Cited by 293

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Li, M., Lin, J., Ding, Y., Liu, Z., Zhu, J.-Y., & Han, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 216

Semantic photo manipulation with a generative image prior

Bau, D., Strobelt, H., Peebles, W., Wulff, J., Zhou, B., Zhu, J.-Y., & Torralba, A. (2019) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 207

Dataset distillation

Wang, T., Zhu, J.-Y., Torralba, A., & Efros, A. A. (2018) · arXiv

Machine Learning and Data ClassificationDomain Adaptation and Few-Shot Learning

Cited by 194

Diverse Image Generation via Self-Conditioned GANs

Liu, S., Wang, T., Bau, D., Zhu, J.-Y., & Torralba, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 91